Protein secondary structure prediction for a single-sequence using hidden semi-Markov models
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* Corresponding author: Mark Borodovsky mark@amber.biology.gatech.edu
1 School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0250, USA
2 School of Biology, the Wallace H. Coulter Department of Biomedical Engineering and the Center for Bioinformatics and Computational Biology, Georgia Institute of Technology, Atlanta, GA 30332-0230, USA
BMC Bioinformatics 2006, 7:178 doi:10.1186/1471-2105-7-178
Published: 30 March 2006Additional files
Additional File 1:
Segment Overlap Score. In this file, the performances of the methods BSPSS and IPSSP are evaluated and compared on the Segment Overlap (SOV) measure, which is based on the average overlap between the observed and the predicted segments.
Format: PDF Size: 83KB Download file
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Additional File 2:
Reliability Measures. In this file, the performances of the methods BSPSS and IPSSP are evaluated and compared on two reliability measures: the prediction confidence and the percentage of predicted positions. Both measures are computed with respect to the prediction threshold.
Format: PDF Size: 34KB Download file
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